7.4.0.More about visualizations, aesthetics, and annotations - quanganh2001/Google-Data-Analytics-Professional-Certificate-Coursera GitHub Wiki
R is a tool well-suited for creating detailed visualizations. In this part of the course, you’ll learn how to use R to generate and troubleshoot visualizations. You’ll also explore the features of R and RStudio that will help you with the aesthetics of your visualizations and for annotating and saving them.
Learning Objectives
- Identify the aesthetics features available in R with reference to size, shape, color, and plots
- Explain some common problems associated with visualizations in R
- Use of ggplot() to generate basic visualizations
- Describe the options for generating visualizations in R
- Demonstrate an understanding of RStudio functionality for saving visualizations
- Create a plot in ggplot2
- Explain the purpose and basic logic of the ggplot2 package